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06/01/2023
Rank-heterogeneous Preference Models for School Choice
School choice mechanism designers use discrete choice models to understa...
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05/27/2023
Counterfactual Evaluation of Peer-Review Assignment Policies
Peer review assignment algorithms aim to match research papers to suitab...
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05/19/2023
Off-policy evaluation beyond overlap: partial identification through smoothness
Off-policy evaluation (OPE) is the problem of estimating the value of a ...
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03/17/2023
The Moderating Effect of Instant Runoff Voting
Instant runoff voting (IRV) has recently gained popularity as an alterna...
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02/10/2023
Model-Based Regression Adjustment with Model-Free Covariates for Network Interference
When estimating a Global Average Treatment Effect (GATE) under network i...
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12/12/2022
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks
Many policies in the US are determined locally, e.g., at the county-leve...
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10/18/2022
Heteroscedasticity-aware sample trimming for causal inference
A popular method for variance reduction in observational causal inferenc...
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07/18/2022
Ballot Length in Instant Runoff Voting
Instant runoff voting (IRV) is an increasingly-popular alternative to tr...
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10/21/2021
To Recommend or Not? A Model-Based Comparison of Item-Matching Processes
Recommender systems are central to modern online platforms, but a popula...
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06/14/2021
Adaptive normalization for IPW estimation
Inverse probability weighting (IPW) is a general tool in survey sampling...
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05/17/2021
Choice Set Confounding in Discrete Choice
Standard methods in preference learning involve estimating the parameter...
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09/04/2020
Randomized Graph Cluster Randomization
The global average treatment effect (GATE) is a primary quantity of inte...
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07/06/2020
Prioritized Restreaming Algorithms for Balanced Graph Partitioning
Balanced graph partitioning is a critical step for many large-scale dist...
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01/20/2020
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice
The Multinomial Logit (MNL) model and the axiom it satisfies, the Indepe...
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02/08/2019
Discovering Context Effects from Raw Choice Data
Many applications in preference learning assume that decisions come from...
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10/05/2018
Social Choice Random Utility Models of Intransitive Pairwise Comparisons
There is a growing need for discrete choice models that account for the ...
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09/25/2018
Evaluating stochastic seeding strategies in networks
When trying to maximize the adoption of a behavior in a population conne...
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09/13/2018
Choosing to Rank
Ranking data arises in a wide variety of application areas, generated bo...
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07/24/2018
Improving pairwise comparison models using Empirical Bayes shrinkage
Comparison data arises in many important contexts, e.g. shopping, web cl...
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05/16/2017
Comparison-Based Choices
A broad range of on-line behaviors are mediated by interfaces in which p...
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03/08/2016